scholarly journals Depressive symptoms, psychiatric medication use, and risk of type 2 diabetes: results from the Health and Retirement Study

2015 ◽  
Vol 37 (5) ◽  
pp. 420-426 ◽  
Author(s):  
Scott Ratliff ◽  
Briana Mezuk
2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
Erin B Ware ◽  
Ana Cristina Morataya Bustamante ◽  
Mingzhou Fu ◽  
Kelly M Bakulski

2019 ◽  
Vol 54 (4) ◽  
pp. 291-296
Author(s):  
Rachel J Burns

Abstract Background Body mass index (BMI) is linked to Type 2 diabetes (T2D). Although romantic partners influence each other's health outcomes, it is unclear if partner's BMI is related to the development of T2D. Purpose To test prospective, dyadic associations between BMI and the development of T2D in middle-aged and older adult couples over 8 years. Methods Data came from 950 couples in the Health and Retirement Study. Neither partner had diabetes at baseline (2006). The actor–partner interdependence model was used to examine dyadic associations between BMI at baseline and the development of T2D during the next 8 years. Results After adjusting for covariates, a significant actor effect was observed such that one's BMI at baseline was positively associated with one's own odds of developing T2D during follow-up (odds ratio [OR] = 1.08, p < .001). A significant partner effect was also observed such that the BMI of one's partner at baseline was positively associated with one's own odds of developing T2D during follow-up above and beyond one's own baseline BMI (OR = 1.04, p = .003). These associations were not moderated by sex. This pattern of results held when BMI was coded categorically (not overweight/obese; overweight; obese). Conclusions Partner's BMI was prospectively associated with the likelihood of developing T2D. Future research should consider interpersonal risk factors for chronic health conditions, such as T2D. There is an opportunity to develop theoretical models that specify how and when partner characteristics are linked to physical morbidity.


Author(s):  
Yan Yan Wu ◽  
Mika D Thompson ◽  
Fadi Youkhana ◽  
Catherine M Pirkle

Abstract This study investigated the association of lifestyle factors and polygenic risk scores (PGS), and their interaction, on type 2 diabetes mellitus (T2D). We examined data from the U.S. Health and Retirement Study, a prospective longitudinal cohort of adults aged 50 years and older, containing nationally representative samples of Black and White Americans with precalculated PGS for T2D (N = 14 001). Predicted prevalence and incidence of T2D were calculated with logistic regression models. We calculated differences in T2D prevalence and incidence by PGS percentiles and for interaction variables using nonparametric bootstrap method. Black participants had approximately twice the prevalence of Whites (26.2% vs 14.2%), with a larger difference between the 90th and 10th PGS percentile from age 50 to 80 years. Significant interaction (pinteraction = .0096) was detected between PGS and physical activity among Whites. Among Whites in the 90th PGS percentile, T2D prevalence for moderate physical activity was 17.0% (95% CI: 14.8, 19.6), 6.8% lower compared to no/some physical activity (23.8%; 95% CI: 20.4, 27.5). T2D prevalence was similar (~10%) for both groups in the 10th PGS percentile. Incident T2D in Whites followed a similar pattern (pinteraction = .0325). No significant interactions with PGS were detected among Black participants. Interaction of different genetic risk profiles with lifestyle factors may inform understanding of varying inventions’ efficacy for different groups of people, potentially improving clinical and prevention interventions.


BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e041578
Author(s):  
Linglin Kong ◽  
Huimin Zhao ◽  
Junyao Fan ◽  
Quan Wang ◽  
Jie Li ◽  
...  

ObjectivesTo assess the prevalence of frailty and identify predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes.DesignA cross-sectional design.SettingTwo community health centres in central China.Participants291 community-dwelling older adults aged ≥65 years with type 2 diabetes.Main outcome measuresData were collected via face-to-face interviews, anthropometric measurements, laboratory tests and community health files. The main outcome measure was frailty, as assessed by the frailty phenotype criteria. The multivariate logistic regression model was used to identify the predictors of frailty.ResultsThe prevalence of prefrailty and frailty were 51.5% and 19.2%, respectively. The significant predictors of frailty included alcohol drinking (ex-drinker) (OR 4.461, 95% CI 1.079 to 18.438), glycated haemoglobin (OR 1.434, 95% CI 1.045 to 1.968), nutritional status (malnutrition risk/malnutrition) (OR 8.062, 95% CI 2.470 to 26.317), depressive symptoms (OR 1.438, 95% CI 1.166 to 1.773) and exercise behaviour (OR 0.796, 95% CI 0.716 to 0.884).ConclusionsA high prevalence of frailty was found among older adults with type 2 diabetes in the Chinese community. Frailty identification and multifaceted interventions should be developed for this population, taking into consideration proper glycaemic control, nutritional instruction, depressive symptoms improvement and enhancement of self-care behaviours.


2020 ◽  
Vol 29 ◽  
Author(s):  
C. E. Lloyd ◽  
N. Sartorius ◽  
H. U. Ahmed ◽  
A. Alvarez ◽  
S. Bahendeka ◽  
...  

Abstract Aims To examine the factors that are associated with changes in depression in people with type 2 diabetes living in 12 different countries. Methods People with type 2 diabetes treated in out-patient settings aged 18–65 years underwent a psychiatric assessment to diagnose major depressive disorder (MDD) at baseline and follow-up. At both time points, participants completed the Patient Health Questionnaire (PHQ-9), the WHO five-item Well-being scale (WHO-5) and the Problem Areas in Diabetes (PAID) scale which measures diabetes-related distress. A composite stress score (CSS) (the occurrence of stressful life events and their reported degree of ‘upset’) between baseline and follow-up was calculated. Demographic data and medical record information were collected. Separate regression analyses were conducted with MDD and PHQ-9 scores as the dependent variables. Results In total, there were 7.4% (120) incident cases of MDD with 81.5% (1317) continuing to remain free of a diagnosis of MDD. Univariate analyses demonstrated that those with MDD were more likely to be female, less likely to be physically active, more likely to have diabetes complications at baseline and have higher CSS. Mean scores for the WHO-5, PAID and PHQ-9 were poorer in those with incident MDD compared with those who had never had a diagnosis of MDD. Regression analyses demonstrated that higher PHQ-9, lower WHO-5 scores and greater CSS were significant predictors of incident MDD. Significant predictors of PHQ-9 were baseline PHQ-9 score, WHO-5, PAID and CSS. Conclusion This study demonstrates the importance of psychosocial factors in addition to physiological variables in the development of depressive symptoms and incident MDD in people with type 2 diabetes. Stressful life events, depressive symptoms and diabetes-related distress all play a significant role which has implications for practice. A more holistic approach to care, which recognises the interplay of these psychosocial factors, may help to mitigate their impact on diabetes self-management as well as MDD, thus early screening and treatment for symptoms is recommended.


2016 ◽  
Vol 78 (7) ◽  
pp. 851-860 ◽  
Author(s):  
Ashley E. Moncrieft ◽  
Maria M. Llabre ◽  
Judith Rey McCalla ◽  
Miriam Gutt ◽  
Armando J. Mendez ◽  
...  

2015 ◽  
Vol 23 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Lyndsay A Nelson ◽  
Shelagh A Mulvaney ◽  
Tebeb Gebretsadik ◽  
Yun-Xian Ho ◽  
Kevin B Johnson ◽  
...  

Abstract Objective Mobile health (mHealth) interventions may improve diabetes outcomes, but require engagement. Little is known about what factors impede engagement, so the authors examined the relationship between patient factors and engagement in an mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes (T2DM). Materials and Methods Eighty patients with T2DM participated in a 3-month mHealth intervention called MEssaging for Diabetes that leveraged a mobile communications platform. Participants received daily text messages addressing and assessing medication adherence, and weekly interactive automated calls with adherence feedback and questions for problem solving. Longitudinal repeated measures analyses assessed the relationship between participants’ baseline characteristics and the probability of engaging with texts and calls. Results On average, participants responded to 84.0% of texts and participated in 57.1% of calls. Compared to Whites, non-Whites had a 63% decreased relative odds (adjusted odds ratio [AOR] = 0.37, 95% confidence interval [CI], 0.19-0.73) of participating in calls. In addition, lower health literacy was associated with a decreased odds of participating in calls (AOR = 0.67, 95% CI, 0.46-0.99, P = .04), whereas older age ( Pnonlinear = .01) and more depressive symptoms (AOR = 0.62, 95% CI, 0.38-1.02, P = .059) trended toward a decreased odds of responding to texts. Conclusions Racial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement.


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